• BUSINESS

    SIMULATION MODULE FOR PRODUCTION PLANNING AND CONTROL

    Science. Business. Society., Vol. 2 (2017), Issue 2, pg(s) 72-75

    Production planning and control (PPC) system represents a set of decisions on the acquisition, utilization and allocation of resources with the ultimate goal to satisfy customer requirements in the most effective and efficient way. PPC system involves a considerable amount of parameters and synchronizing of a high number of components is a complex process, especially in present business environment where everything has to be decided fast and precisely under an enormous pressure of external factor that undergo through constant change, as so throughout the years a number of methods have been developed with the intention of optimizing the work of PPC systems. One of the methods for optimizing PPC systems which is also used in this case is simulation module for PPC which integrates the parameters involved offering the opportunity of experimenting and analyzing the different possible scenarios in order to find the one that delivers the best possible results without affecting the current actual system and with that reducing the cost and time needed to identify the most optimal solution.

  • SCIENCE

    APPLYING PRODUCTION RELATED KNOWLEDGE WHEN ANALYZING HEALTHCARE PROBLEMS USING SIMULATION APPROACHES

    Science. Business. Society., Vol. 1 (2016), Issue 3, pg(s) 18-21

    The focus of this paper is the knowledge gained from the engineers when solving production related problems and how this can be utilized when solving issues in the healthcare. Based on this, a research has been made where engineers have conceptualized and developed a simulation model for one polyclinic using real data. The simulation model is a hybrid one using Discrete Event Simulation and Agent Based Modelling approaches. It is created applying the basic principles of the queuing theory that is unavoidable even in the simplest production systems. The model simulates the patient flow in the polyclinic. By using experiments and analysis, what is the ideal number of resources with whom the waiting time of the patient would be under a certain time limit is suggested. This research showed that the possibilities of the application of simulations in healthcare and the benefits of their use are endless.